In Episode 126, Scott Genin, Vice President of Materials Discovery at OTI Lumionics, discusses the advancements and challenges in quantum materials discovery. The conversation covers the limitations of current material simulation methods, the role of AI, and the importance of training the next generation of quantum programmers. Scott emphasizes the need for efficient problem embedding in quantum chemistry and shares insights on the future of quantum computing in material science. Scott Genin ...
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In Episode 126, Scott Genin, Vice President of Materials Discovery at OTI Lumionics, discusses the advancements and challenges in quantum materials discovery. The conversation covers the limitations of current material simulation methods, the role of AI, and the importance of training the next generation of quantum programmers. Scott emphasizes the need for efficient problem embedding in quantum chemistry and shares insights on the future of quantum computing in material science. Scott Genin ...
Episode 116: Quantum 2025: Hype, Hope, and What’s Actually Happening
Entangled Things
41 minutes
5 months ago
Episode 116: Quantum 2025: Hype, Hope, and What’s Actually Happening
In Episode 116 of Entangled Things, Patrick and Ciprian go solo to explore whether 2025 will be the year quantum computing lives up to the hype. They dive into the rapid development of quantum chips, the scalability challenge, and how we’re beginning to bridge the gap between logical and physical qubits. The conversation also covers: How quantum algorithms are evolving: from theory to real-world applicationThe role of scaled particle entanglement and GHZ statesWhy the ideal quantum modality m...
Entangled Things
In Episode 126, Scott Genin, Vice President of Materials Discovery at OTI Lumionics, discusses the advancements and challenges in quantum materials discovery. The conversation covers the limitations of current material simulation methods, the role of AI, and the importance of training the next generation of quantum programmers. Scott emphasizes the need for efficient problem embedding in quantum chemistry and shares insights on the future of quantum computing in material science. Scott Genin ...
